 So Bastadio is a company that does visual programming, and you've actually created a visual of the data around the Stratoconference, right? So you've taken the tweet stream, and so first of all, tell us a little bit about Bastadio and your own words, and we've got a little demo that we're going to run. Right, so Bastadio has been working during the last five years. We are almost the only company in Spain which is working with data visualization, with information visualization. And we are actually involved, we have a very small company, we're about 11 people working, and during the last year we have been joining all the efforts from the company to develop what we call a visual programming language, which is available at impure.com. Is that a web-based application? Impure. Yeah, impure.com. And you guys were at the science fair last night? Yeah, we were yesterday at the science fair, yeah. By the way, it was a really great event. What time did that end? At that point? Yeah, I went until 9.30, 10. Still going, actually. Almost, yeah, almost. They're stuffing a lot of content here at the Stratoconference. People were pretty excited with it, and we were really happy to be able to show our work here in the States. And it's the very first time we have been here to show it. Well, actually, we went to the Visweek conference last November also to show the tool. And the idea is that impure is a visual programming language. So... I-M-P-U-R-E dot com. Right, right. Here it is, here's the demo. Right, so we're starting to run the demo. Yeah, we're saying at this video, which is in YouTube, so we can see that the idea of impure is that we have developed a bunch of different modules, and these modules are divided into different families, such as data structures and visualizators and so on. So we used to say that non-programmers can be able to use these modules and drag them into an infinite canvas to create new data flows. So impure is not just for creating visualizations. We believe that there is a tool to create a whole information flow, a whole data flow. So anybody can grab data from an API, such as Fliggers, such as Deletions and so on, or just load data from a CSV file that can be uploaded to any server or whatever, and use different modules to process this data and to manipulate it, and also have the ability to use some visualizator modules that have been designed to allow the interaction with the data, and that's what we were seeing in that video. And, Jill, you're interacting visually, which has completely changed the programming experience. Describe some of the... What are you guys doing for the back end? Are you using a dupe, HBase, using any kind of... No, actually, we're just using... The whole software has been developed in ActionScript 3, and that's the client, the interface, while we have some modules that interact with our servers that do stuff with some other APIs and do some classroom things and so on. So you wrote your own environment and handled the data? Exactly. Yeah, that's the idea. Because of the interface with the visual side? Yeah. Okay, cool. Yeah, that's the idea. So, you know, we're seeing... Are we running the demo? Yeah. Actually, why? Okay. Okay, so we're... I think that Santiago is building here... So he's a little ahead of us, right? There's a little slight delay. Okay, so here... No, let me just give the play-by-play here. So we have Santiago, is it? Yeah. He's actually on the producer desk doing this live. So what you're seeing on the screen here is actually a live representation of the visual software. Yeah, so what he's doing... He's actually... He has just generated a circle, what we call a circle tag cloud of data from Twitter. And that's real live data. He's just pulling data from the Twitter API. And as we can see, there are different modules in this visualization in this workflow. So there are some... The API of Twitter, there's also some modules that just extract data from the tables that these modules grab. And one of the main ideas of Impure, I think is pretty important, is that visualization in Impure is not the end of the analysis. So usually, in our work today, people process data and end up generating visualizations to explore them, to understand the data, and also they generate some other images, some other visualizations to communicate this data. In Impure, the idea is to... You are able to create data loops. So visualizations are not just the end part of the analysis, but they can be part of the whole information flow. So you can use the visualizations to select data that you are interested in and then use this data to send it to another API or to another visualization to continue analyzing it. Okay. So you guys are... He's clicking around. Okay, there it is. So you're 11 people. When did you guys start? Well, we started working with Impure about a year ago, something like that. Okay. Yeah. And so now you're about to... Have you gone commercial with it? Well, not yet. We are actually... We have an alpha version. So he's doing something right now. What is this? Yeah, this visualization is... This is interesting. This visualization is showing the text, use it in delicious, regarding three different websites that I cannot see right here. But we can see different tags and how are they related to these different websites. So it's a way to explore the universe within delicious, regarding three different websites. So what's the year's experience like? Tell me what I would do. I want to sit down. I want to do something. What is that something? And what do I have to do to interact with this? Okay, that's interesting. I think that Impure can be used for technical people. They should be the ones who can generate these workspaces, these data workflows. And also Impure allows to just hide the kind of backbones of the workspace. So only the visualizations and some controllers that help on interacting with this visualization might be visible. So these workspaces can be shared with other people, for instance, analysts, who they don't have to know how to use Impure. They get a product. Exactly, like what we're seeing here. Here, we're just seeing some visualization, nothing else. And there's a set of modules behind these visualizations that are actually the ones that generate these visualizations. And that's the idea. So we have the idea that you can generate the workspace, you can be the producer of this workspace, or you can be the consumer of this workspace. And in Impure, you can publish your workspace. How are you getting the data? I mean, are you subscribing to the Firehose? Are you getting services? Are you hitting APIs up? Yeah, we're actually using... Twitter's got a rate limit. I mean, you've got to get... Yeah, actually, yeah. Well, first of all, it's very important to stress out that I'm using an alpha stage, and we're working very hard with it. And actually, we have developed our own peer API. So we have some ground jobs, some bots that are constantly grabbing data from Twitter and storing it in our servers. So we are actually taking advantage from public APIs. So you've got to work around the rate limit right now. Yeah, yeah. Got it, okay. And there's other RSS data out there too, right? Yeah. Blogs and Twitter. How about Facebook? Is there any Facebook? Because Facebook's got a weird data environment, because it's kind of crazy. Yeah, we are actually working with Facebook. Actually, what you can do, there are a couple of services that you can install in your Facebook account and you can download your network. So this can be done and you can get your network with a GDF file. So you can load this GDF file within Imperial and use Imperial to visualize it. Okay, so what's next for the company? What's your plans? Well... As Strata kind of comes to an end, you know, you've got to kind of go to the next level of funding. Yeah, but what we're seeing right now is what we call the flow visualization of the different words using the tweets regarding StrataConf. So we can see how... I think that this dark line around there is the data talk. So about the company, we are actually just focused on... Leave the demo up. Keep the demo going so we can look at the demo. Okay, cool. So we are actually working to launch a beta version of Imperial, which is going to be available hopefully next summer. And our plans are to continue working with Imperial. We have to grab some use case to show... We want this tool not just to be beautiful and appealing. We want this tool to be useful. We want people solving their problems, the problems of their company with Imperial. And to do so, we're actually working with pretty big companies in Spain that are giving us the data and we're developing work spaces for them. So we're actually broadcasting. We have this on demand with a lot of people. What do you want to share with them about what your goals are and what you'd like people to know about in Pure and your company? Okay, I think that... Regarding Imperial, I think that it might be a really good tool for those professionals that they already know how to program visualization. I think that it can be a very good tool for sketching. So for trying out your data, for trying your things... Because in Imperial, you can mix different visualizations. You can overlay one on top of the other. So you can create pretty crazy visualizations with Imperial. So I think that for these kind of professionals, they can use Imperial in that sense. And regarding those people that are not programmers, for those analysts that they need to get insight from their data, I think that Imperial can help them quite a lot because it is much more easier than starting learning how to program, action, script, or any other language. So we're here at Strata Live with Victor Pasquale of Bestialio, of the Barcelona-based Bestialio. Young company, very interesting, changing the way in which you interact. Silicon Valley on the road show. Yeah, so Victor, thank you very much for coming on and sharing with us. Thank you very much. The Cube is global. We do not discriminate against knowledge. And thank you for coming on from Spain. Great stuff. We're Global Knowledge Hub here at the Cube. Thanks so much, Victor. Thank you very much. Thank you for coming on the Cube. Get your account at impu.com and let us know. Let us get us an account at siliconangle.com and ebond.org. Thank you. Thanks so much. All right. All right. We love it. We love it. Yeah, guys. He's fantastic.